Fair AI represents the convergence of cutting-edge technologies and economic incentives to ensure that artificial intelligence progresses in a manner that benefits all those involved in its creation and utilization. At the core of Fair AI lie principles such as ownership, permission, and fair compensation.
One of the key aspects of Fair AI is the concept of fair compensation for individuals who contribute their data, computing power, and content to AI datasets. For instance, imagine a scenario where a user grants permission for their data from a social media platform like Twitter to be used. This process is akin to granting certain applications access to your calendar. The data contributed by users helps in creating new datasets that go beyond publicly available information. As a result, individuals who contribute their data to enhance the AI ecosystem are entitled to receive compensation in the form of an on-chain asset.
This approach to data contribution is markedly different from the prevailing practices of Big AI, where users often do not receive any compensation for the utilization of their data. For example, when a company like Gemini uses decades of a user’s Google Search history to enhance its services, the user is not typically compensated for their valuable contribution.
In conclusion, the concept of Fair AI is essential for fostering a sustainable and equitable AI ecosystem where individuals are fairly rewarded for their contributions. By embracing Fair AI principles, we can pave the way for a future where AI benefits everyone involved, creating a more inclusive and ethical technological landscape.
